Literature DB >> 24384384

Gender differences in road traffic injury rate using time travelled as a measure of exposure.

Elena Santamariña-Rubio1, Katherine Pérez2, Marta Olabarria3, Ana M Novoa4.   

Abstract

There is no consensus on whether the risk of road traffic injury is higher among men or among women. Comparison between studies is difficult mainly due to the different exposure measures used to estimate the risk. The measures of exposure to the risk of road traffic injury should be people's mobility measures, but frequently authors use other measures such population or vehicles mobility. We compare road traffic injury risk in men and women, by age, mode of transport and severity, using the time people spend travelling as the exposure measure, in Catalonia for the period 2004-2008. This is a cross-sectional study including all residents aged over 3 years. The road traffic injury rate was calculated using the number of people injured, from the Register of Accidents and Victims of the National Traffic Authority as numerator, and the person-hours travelled, from the 2006 Daily Mobility Survey carried out by the Catalan regional government, as denominator. Sex and age specific rates by mode of transport and severity were calculated, and Poisson regression models were fitted. Among child pedestrians and young drivers, males present higher risk of slight and severe injury, and in the oldest groups women present higher risk. The death rate is always higher in men. There exists interaction between sex and age in road traffic injury risk. Therefore, injury risk is higher among men in some age groups, and among women in other groups, but these age groups vary depending on mode of transport and severity.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Age groups; Exposure; Injury; Risk assessment; Sex differences; Traffic accident; Travel survey

Mesh:

Year:  2013        PMID: 24384384     DOI: 10.1016/j.aap.2013.11.015

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  21 in total

1.  Gender differences in children's pedestrian behaviors: Developmental effects.

Authors:  Huarong Wang; David C Schwebel; Dingliang Tan; Licheng Shi; Lvqing Miao
Journal:  J Safety Res       Date:  2018-09-20

2.  Psychometric properties of the 12-item WHODAS applied through phone survey: an experience in PERSIAN Traffic Cohort.

Authors:  Nasrin Shahedifar; Homayoun Sadeghi-Bazargani; Mohammad Asghari-Jafarabadi; Mostafa Farahbakhsh; Shahrzad Bazargan-Hejazi
Journal:  Health Qual Life Outcomes       Date:  2022-07-09       Impact factor: 3.077

3.  Comparing distance and time as driving exposure measures to evaluate fatal crash risk ratios.

Authors:  Sijun Shen; Marco H Benedetti; Songzhu Zhao; Lai Wei; Motao Zhu
Journal:  Accid Anal Prev       Date:  2020-05-14

4.  Measuring progress from 1990 to 2017 and projecting attainment to 2030 of the health-related Sustainable Development Goals for 195 countries and territories: a systematic analysis for the Global Burden of Disease Study 2017.

Authors: 
Journal:  Lancet       Date:  2018-11-08       Impact factor: 79.321

5.  Regional disparities in road traffic injuries and their determinants in Brazil, 2013.

Authors:  Otaliba Libanio Morais Neto; Ana Lúcia Andrade; Rafael Alves Guimarães; Polyana Maria Pimenta Mandacarú; Gabriela Camargo Tobias
Journal:  Int J Equity Health       Date:  2016-11-17

6.  Evaluation of factors associated with the difficulty in finding receiving hospitals for traffic accident patients at the scene treated by emergency medical services: a population-based study in Osaka City, Japan.

Authors:  Yusuke Katayama; Tetsuhisa Kitamura; Kosuke Kiyohara; Taku Iwami; Takashi Kawamura; Sumito Hayashida; Hiroshi Ogura; Takeshi Shimazu
Journal:  Acute Med Surg       Date:  2017-06-16

7.  New, Occasional, and Frequent Use of Zolpidem or Zopiclone (Alone and in Combination) and the Risk of Injurious Road Traffic Crashes in Older Adult Drivers: A Population-Based Case-Control and Case-Crossover Study.

Authors:  Alicia Nevriana; Jette Möller; Lucie Laflamme; Joel Monárrez-Espino
Journal:  CNS Drugs       Date:  2017-08       Impact factor: 5.749

8.  Does spending matters? Re-looking into various covariates associated with Out of Pocket Expenditure (OOPE) and catastrophic spending on accidental injury from NSSO 71st round data.

Authors:  Jalandhar Pradhan; Rinshu Dwivedi; Sanghamitra Pati; Sarit Kumar Rout
Journal:  Health Econ Rev       Date:  2017-12-20

9.  A shift from motorised travel to active transport: What are the potential health gains for an Australian city?

Authors:  Belen Zapata-Diomedi; Luke D Knibbs; Robert S Ware; Kristiann C Heesch; Marko Tainio; James Woodcock; J Lennert Veerman
Journal:  PLoS One       Date:  2017-10-11       Impact factor: 3.240

10.  Evaluating the impact of an injury prevention measure regarding different sociodemographic factors.

Authors:  Thomas Brockamp; Paola Koenen; Manuel Mutschler; Michael Köhler; Bertil Bouillon; Uli Schmucker; Michael Caspers; Working Group Injury Prevention Of The German Trauma Society
Journal:  J Inj Violence Res       Date:  2017-12-04
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.